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A framework for joint modelling of activity choice, duration, and productivity while travelling

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  • Pawlak, Jacek
  • Polak, John W.
  • Sivakumar, Aruna

Abstract

Recent developments in mobile information and communication technologies (ICT), vehicle automation, and the associated debates on the implications for the operation of transport systems and for the appraisal of investment has heightened the importance of understanding how people spend travel time and how productive they are while travelling. To date, however, no approach has been proposed that incorporates the joint modelling of in-travel activity type, activity duration and productivity behaviour.

Suggested Citation

  • Pawlak, Jacek & Polak, John W. & Sivakumar, Aruna, 2017. "A framework for joint modelling of activity choice, duration, and productivity while travelling," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 153-172.
    • Handle: RePEc:eee:transb:v:106:y:2017:i:c:p:153-172
    DOI: 10.1016/j.trb.2017.10.010
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    1. Okhrin, Ostap & Ristig, Alexander, 2014. "Hierarchical Archimedean Copulae: The HAC Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i04).
    2. Line, Tilly & Jain, Juliet & Lyons, Glenn, 2011. "The role of ICTs in everyday mobile lives," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1490-1499.
    3. Pawlak, Jacek & Polak, John W. & Sivakumar, Aruna, 2015. "Towards a microeconomic framework for modelling the joint choice of activity–travel behaviour and ICT use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 92-112.
    4. Mokhtarian, Patricia L. & Salomon, Ilan, 2001. "How derived is the demand for travel? Some conceptual and measurement considerations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(8), pages 695-719, September.
    5. Price, Laura & Matthews, Bryan, 2013. "Travel time as quality time: parental attitudes to long distance travel with young children," Journal of Transport Geography, Elsevier, vol. 32(C), pages 49-55.
    6. Sivaramakrishnan Srinivasan & Chandra Bhat, 2005. "Modeling household interactions in daily in-home and out-of-home maintenance activity participation," Transportation, Springer, vol. 32(5), pages 523-544, September.
    7. Ipek N Sener & Chandra R Bhat, 2011. "A Copula-Based Sample Selection Model of Telecommuting Choice and Frequency," Environment and Planning A, , vol. 43(1), pages 126-145, January.
    8. Lyons, Glenn & Urry, John, 2005. "Travel time use in the information age," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 257-276.
    9. Frei, Charlotte & Mahmassani, Hani S. & Frei, Andreas, 2015. "Making time count: Traveler activity engagement on urban transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 58-70.
    10. Banerjee, Ipsita & Kanafani, Adib, 2008. "The Value of Wireless Internet Connection on Trains: Implications for Mode-Choice Models," University of California Transportation Center, Working Papers qt3bv6g5pm, University of California Transportation Center.
    11. Bates, John J, 1987. "Measuring Travel Time Values with a Discrete Choice Model: A Note," Economic Journal, Royal Economic Society, vol. 97(386), pages 493-498, June.
    12. Ettema, Dick & Bastin, Fabian & Polak, John & Ashiru, Olu, 2007. "Modelling the joint choice of activity timing and duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(9), pages 827-841, November.
    13. Banerjee, Ipsita & Kanafani, Adib, 2008. "The Value of Wireless Internet Connection on Trains: Implications for Mode-Choice Models," University of California Transportation Center, Working Papers qt8kf2t753, University of California Transportation Center.
    14. C. Angelo Guevara, 2017. "Mode-valued differences of in-vehicle travel time Savings," Transportation, Springer, vol. 44(5), pages 977-997, September.
    15. Richard Batley, 2015. "The Hensher equation: derivation, interpretation and implications for practical implementation," Transportation, Springer, vol. 42(2), pages 257-275, March.
    16. Kiefer, Nicholas M, 1988. "Economic Duration Data and Hazard Functions," Journal of Economic Literature, American Economic Association, vol. 26(2), pages 646-679, June.
    17. Bhat, Chandra R., 1996. "A hazard-based duration model of shopping activity with nonparametric baseline specification and nonparametric control for unobserved heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 30(3), pages 189-207, June.
    18. Lim, Siew Hoon & Chi, Junwook, 2013. "Are cell phone laws in the U.S. effective in reducing fatal crashes involving young drivers?," Transport Policy, Elsevier, vol. 27(C), pages 158-163.
    19. Sergio R. Jara-Diaz & Cristián A. Guevara, 2003. "Behind the Subjective Value of Travel Time Savings," Journal of Transport Economics and Policy, University of Bath, vol. 37(1), pages 29-46, January.
    20. Oulton, Nicholas, 1998. "Competition and the Dispersion of Labour Productivity amongst UK Companies," Oxford Economic Papers, Oxford University Press, vol. 50(1), pages 23-38, January.
    21. Chandra Bhat & Ipek Sener, 2009. "A copula-based closed-form binary logit choice model for accommodating spatial correlation across observational units," Journal of Geographical Systems, Springer, vol. 11(3), pages 243-272, September.
    22. Kenyon, Susan & Lyons, Glenn, 2007. "Introducing multitasking to the study of travel and ICT: Examining its extent and assessing its potential importance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 161-175, February.
    23. Cambanis, Stamatis, 1977. "Some properties and generalizations of multivariate Eyraud-Gumbel-Morgenstern distributions," Journal of Multivariate Analysis, Elsevier, vol. 7(4), pages 551-559, December.
    24. Zhi Dong & Patricia Mokhtarian & Giovanni Circella & James Allison, 2015. "The estimation of changes in rail ridership through an onboard survey: did free Wi-Fi make a difference to Amtrak’s Capitol Corridor service?," Transportation, Springer, vol. 42(1), pages 123-142, January.
    25. Ettema, Dick & Friman, Margareta & Gärling, Tommy & Olsson, Lars E. & Fujii, Satoshi, 2012. "How in-vehicle activities affect work commuters’ satisfaction with public transport," Journal of Transport Geography, Elsevier, vol. 24(C), pages 215-222.
    26. Giovanni Circella & Patricia L. Mokhtarian & Laura K. Poff, 2012. "A conceptual typology of multitasking behavior and polychronicity preferences," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 9(1), pages 59-107, November.
    27. Andrew Harvey, 1993. "Guidelines for time use data collection," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 30(2), pages 197-228, November.
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    3. Ozonder, Gozde & Miller, Eric J., 2021. "Longitudinal investigation of skeletal activity episode timing decisions – A copula approach," Journal of choice modelling, Elsevier, vol. 40(C).
    4. Pudāne, Baiba, 2019. "Departure Time Choice and Bottleneck Congestion with Automated Vehicles: Role of On-board Activities," MPRA Paper 96328, University Library of Munich, Germany.
    5. Saxena, Shobhit & Pinjari, Abdul Rawoof & Paleti, Rajesh, 2022. "A multiple discrete-continuous extreme value model with ordered preferences (MDCEV-OP): Modelling framework for episode-level activity participation and time-use analysis," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 259-283.
    6. Bounie, Nathan & Adoue, François & Koning, Martin & L'Hostis, Alain, 2019. "What value do travelers put on connectivity to mobile phone and Internet networks in public transport? Empirical evidence from the Paris region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 158-177.
    7. Chiara Calastri & Jacek Pawlak & Richard Batley, 2022. "Participation in online activities while travelling: an application of the MDCEV model in the context of rail travel," Transportation, Springer, vol. 49(1), pages 61-87, February.
    8. Palma, David & Calastri, Chiara & Pawlak, Jacek, 2023. "The role of time budgets in models of multi-tasking while travelling: A comparison between the MDCEV and eMDC approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    9. Pudāne, Baiba & van Cranenburgh, Sander & Chorus, Caspar G., 2021. "A day in the life with an automated vehicle: Empirical analysis of data from an interactive stated activity-travel survey," Journal of choice modelling, Elsevier, vol. 39(C).
    10. Shamshiripour, Ali & Rahimi, Ehsan & (Kouros) Mohammadian, Abolfazl & Auld, Joshua, 2020. "Investigating the influence of latent lifestyles on productive travels: Insights into designing autonomous transit system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 469-484.
    11. Fu, Xiao & Zuo, Yufan & Zhang, Shanqi & Liu, Zhiyuan, 2022. "Measuring joint space-time accessibility in transit network under travel time uncertainty," Transport Policy, Elsevier, vol. 116(C), pages 355-368.

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